> ## Documentation Index > Fetch the complete documentation index at: https://docs.tryprofound.com/llms.txt > Use this file to discover all available pages before exploring further. # Getting started with Agents > Build and run your first Agent in a few minutes Building your first Agent takes a few minutes. Here’s how to get from zero to a running workflow. ## Step 1: Choose your starting point Go to **Agents** in the left navigation sidebar. From there, either use [AI Marketer](/aim/about) to build an Agent from a natural language description, or build your Agent manually. ### Use AI Marketer Type a description of what you want to achieve in the **What do you want to build?** input field and let AI Marketer build an Agent for you. If you're new to Agents, this is the fastest way to get started. ### Build manually If you have a specific workflow in mind, select the **+ New Agent** option on the top right of the screen and start from a blank canvas to build your Agent step by step. ### Use Agent Templates Go to the **Templates** tab, browse the template library, select the closest match to your use case, and open it in the editor. From there, run the Agent as-is or customize it however you like. ## Step 2: Configure your inputs Every Agent begins with an Input block. Inputs are the values you supply each time you run the Agent: a keyword, a topic, a URL, and so on. Click the Input block to open its configuration. Add each input you need, give it a clear label (for example, `target_keyword` or `article_url`), choose a type (text, number, list, date range), and indicate whether it's required. These labels become the variable names you'll reference in later steps. ## Step 3: Build your pipeline Add nodes by clicking the **+** icon on the canvas or dragging a node from the left sidebar. Each node has a configuration panel that opens on the right: set its inputs, reference variables from earlier steps, and label the output so it's available to subsequent nodes. Common starting patterns: * [Visibility Score](/agents/nodes/data/visibility-score) node → [Prompt LLM](/agents/nodes/prompt-llm) (generate brief) → [Slack](/integrations/slack/overview) message * Google Search node → [Prompt LLM](/agents/nodes/prompt-llm) (analyze results) → [Generate Article](/agents/nodes/content-creation/generate-article) → [WordPress](/integrations/wordpress/overview) (publish to website) Add [Conditionals](/agents/how-tos/add-conditionals) to branch your workflow based on variable values. Add [Iterations](/agents/how-tos/add-iterations) to loop a sequence of steps over every item in a list. ## Step 4: Test, publish, and run New Agents start as drafts. Before publishing, run a test by supplying sample inputs. Each step's output will be visible so you can verify the pipeline behaves as expected. When the Agent is ready, click **Publish** to make it live. You can then run it manually, trigger it on a schedule, or supply a spreadsheet of inputs via [Sheets](/sheets/getting-started) to process multiple items at once. Still not confident about building Agents? See the  [Profound 101](https://university.tryprofound.com/courses/profound-101) course in Profound University to get inspired. It includes a [module on Agents](https://university.tryprofound.com/courses/profound-101/modules/engineer/lessons/running-your-first-agent), with video explanations, tutorials, and more.